Feature Point Identification of Hydropower Plant Based on Improved ORB Algorithm

The traditional ORB algorithm has some problems such as poor feature point recognition, difficult to eliminate mismatching and scale invariance. This paper presents an improved ORB algorithm to identify and match feature points of hydropower plant. First of all, FAST algorithm uses rBRIEF descriptor...

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Bibliographic Details
Published in2023 5th International Conference on Intelligent Control, Measurement and Signal Processing (ICMSP) pp. 1108 - 1112
Main Authors Xiu, Ji, Hou, Faming, Li, Dexin, Guo, Shuanghao, Bai, Yang, Zhang, Jiajun
Format Conference Proceeding
LanguageEnglish
Published IEEE 19.05.2023
Subjects
Cosine similarity
Feature extraction
Hamming distances
Hydroelectric power generation
Hydropower station
Improve ORB
Intelligent control
Mismatching rate
Signal processing
Signal processing algorithms
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DOI10.1109/ICMSP58539.2023.10169144

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Summary:The traditional ORB algorithm has some problems such as poor feature point recognition, difficult to eliminate mismatching and scale invariance. This paper presents an improved ORB algorithm to identify and match feature points of hydropower plant. First of all, FAST algorithm uses rBRIEF descriptor to describe the detected feature points in the images of hydropower station equipment; Secondly, the feature points extracted by ORB were constructed by Hessian matrix to extract the feature points of hydropower equipment images. Finally, the direction consistency of feature points is used to eliminate the feature points that are not within the threshold range by cosine similarity invariance. The algorithm improves the accuracy of feature point matching, eliminates mismatching feature points and has the advantages of fast matching speed.
DOI:10.1109/ICMSP58539.2023.10169144